Triple
T21932901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wicked Pavilion |
E541613
|
entity |
| Predicate | centralLocationInPlot |
P107401
|
FINISHED |
| Object | fashionable Manhattan café |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fashionable Manhattan café | Statement: [The Wicked Pavilion, centralLocationInPlot, fashionable Manhattan café]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralLocationInPlot Context triple: [The Wicked Pavilion, centralLocationInPlot, fashionable Manhattan café]
-
A.
centralLocation
Indicates that one entity serves as the primary or central place associated with another entity.
-
B.
centralPointSymbolizes
Indicates that a central point stands for, represents, or embodies a particular concept, value, or meaning within a given context.
-
C.
centerOfMassLocation
Indicates the spatial position at which the total mass of an object or system can be considered to be concentrated.
-
D.
centralPointCalled
Indicates that a central point or focal location is designated or referred to by a specific name.
-
E.
centralScene
chosen
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12400a1248190b3f8f27f2aa4a858 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:47 p.m.